Bibliografías temáticas / Process querying

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Literatura académica sobre el tema "Process querying"

Autor: Grafiati
Publicado: 1 de junio de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Process querying"

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Wang, Jianmin, Tao Jin, Raymond K. Wong, and Lijie Wen. "Querying business process model repositories." World Wide Web 17, no. 3 (2013): 427–54. http://dx.doi.org/10.1007/s11280-013-0210-z.

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CHANDRA, S., D. I. BLOCKLEY, and N. J. WOODMAN. "QUALITATIVE QUERYING OF PHYSICAL PROCESS SIMULATIONS." Civil Engineering Systems 10, no. 3 (1993): 225–42. http://dx.doi.org/10.1080/02630259308970125.

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Kunze, Matthias, Matthias Weidlich, and Mathias Weske. "Querying process models by behavior inclusion." Software & Systems Modeling 14, no. 3 (2013): 1105–25. http://dx.doi.org/10.1007/s10270-013-0389-6.

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Artem, Polyvyanyy, Ouyang Chun, Barros Alistair, and van der Aalst Wil. "Process querying: Enabling business intelligence through query-based process analytics." Decision Support Systems 100 (August 1, 2017): 41–56. https://doi.org/10.1016/j.dss.2017.04.011.

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The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems. However, organizations often fail to convert such data into strategic and tactical intelligence. This is due to the lack of dedicated technologies that are tailored to effectively manage the information on processes encoded in process models and process ex
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Ngoc Chan, Nguyen, Nattawat Nonsung, and Walid Gaaloul. "Service querying to support process variant development." Journal of Systems and Software 122 (December 2016): 538–52. http://dx.doi.org/10.1016/j.jss.2015.07.050.

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Jin, Tao, Jianmin Wang, Marcello La Rosa, Arthur ter Hofstede, and Lijie Wen. "Efficient querying of large process model repositories." Computers in Industry 64, no. 1 (2013): 41–49. http://dx.doi.org/10.1016/j.compind.2012.09.008.

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Polyvyanyy, Artem, Chun Ouyang, Alistair Barros, and Wil M. P. van der Aalst. "Process querying: Enabling business intelligence through query-based process analytics." Decision Support Systems 100 (August 2017): 41–56. http://dx.doi.org/10.1016/j.dss.2017.04.011.

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Merazi, Afaf, and Mimoun Malki. "SQUIREL: Semantic Querying Interlinked OWL-S traveling Process Models." International Journal of Information Technology and Computer Science 7, no. 12 (2015): 30–39. http://dx.doi.org/10.5815/ijitcs.2015.12.04.

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P, Ezhumalai, and Ezhilvanji S. "Bandwidth Optimized Resource Allocation Process in Querying Distributed Storage." International Innovative Research Journal of Engineering and Technology 3, no. 3 (2018): 18–21. http://dx.doi.org/10.32595/iirjet.org/v3i3.2018.61.

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Cao, Bin, Jiaxing Wang, Jing Fan, Jianwei Yin, and Tianyang Dong. "Querying Similar Process Models Based on the Hungarian Algorithm." IEEE Transactions on Services Computing 10, no. 1 (2017): 121–35. http://dx.doi.org/10.1109/tsc.2016.2597143.

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Tesis sobre el tema "Process querying"

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Kunze, Matthias. "Searching business process models by example." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6884/.

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Business processes are fundamental to the operations of a company. Each product manufactured and every service provided is the result of a series of actions that constitute a business process. Business process management is an organizational principle that makes the processes of a company explicit and offers capabilities to implement procedures, control their execution, analyze their performance, and improve them. Therefore, business processes are documented as process models that capture these actions and their execution ordering, and make them accessible to stakeholders. As these models are
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Kobeissi, Meriana. "A conversational AI Framework for Cognitive Process Analysis." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAS025.

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Les processus métier (BP) sont les piliers fondamentaux des organisations, englobant toute une gamme d'activités structurées visant à atteindre des objectifs organisationnels distincts. Ces processus, caractérisés par une multitude de tâches, d'interactions et de flux de travail, offrent une méthodologie structurée pour superviser les opérations cruciales dans divers secteurs. Une découverte essentielle pour les organisations a été la reconnaissance de la valeur profonde inhérente aux données produites pendant ces processus. L'analyse des processus, une discipline spécialisée, explore ces jour
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Cruz, Lívia Almada. "Consultas kNN em redes dependentes do tempo." reponame:Repositório Institucional da UFC, 2013. http://www.repositorio.ufc.br/handle/riufc/18495.

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CRUZ, Lívia Almada. Consultas kNN em redes dependentes do tempo. 2013. 75 f. Dissertação (Mestrado em ciência da computação)- Universidade Federal do Ceará, Fortaleza-CE, 2013.<br>Submitted by Elineudson Ribeiro (elineudsonr@gmail.com) on 2016-07-11T18:24:05Z No. of bitstreams: 1 2013_dis_lacruz.pdf: 6954650 bytes, checksum: fbf7280f2f781976bae6e4474c2c16c6 (MD5)<br>Approved for entry into archive by Rocilda Sales (rocilda@ufc.br) on 2016-07-20T11:52:58Z (GMT) No. of bitstreams: 1 2013_dis_lacruz.pdf: 6954650 bytes, checksum: fbf7280f2f781976bae6e4474c2c16c6 (MD5)<br>Made available in DSpace o
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Cruz, LÃvia Almada. "Consultas kNN em redes dependentes do tempo." Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=10343.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>Nesta dissertaÃÃo foi estudado o problema de processar consultas kNN em redes de rodovias considerando o histÃrico das condiÃÃes de trÃfego, em particular o caso onde a velocidade dos objetos mÃveis depende do tempo. Dado que um usuÃrio està em uma dada localizaÃÃo e em um determinado instante de tempo, a consulta retorna os k pontos de interesse (por exemplo, postos de gasolina) que podem ser alcanÃados em uma quantidade de tempo mÃnima considerando condiÃÃes histÃricas de trÃfego. SoluÃÃes anteriores para consultas kNN e outras
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Baraldi, Andrea. "Pre-processing, classification and semantic querying of large-scale Earth observation spaceborne/airborne/terrestrial image databases: Process and product innovations." Tesi di dottorato, 2017. http://www.fedoa.unina.it/11724/1/TesiDottorato_Unina_XXIX_AB_EO-IU4SQ_v4_RGB_10April2017.pdf.

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By definition of Wikipedia, “big data is the term adopted for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The big data challenges typically include capture, curation, storage, search, sharing, transfer, analysis and visualization”. Proposed by the intergovernmental Group on Earth Observations (GEO), the visionary goal of the Global Earth Observation System of Systems (GEOSS) implementation plan for years 2005-2015 is systematic transformation of multisource Earth Observa
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"Querying early product chemistry in a complex process: A cold molecular beam approach for triglyceride pyrolysis: Cold molecular beam study of Triglycerides pyrolysis chemistry." Tulane University, 2020.

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archives@tulane.edu<br>A cold molecular beam approach has been pioneered to investigate the pyrolysis reactions of triglycerides (TGs) as a function of temperature. Traditionally, an established repertoire of laser techniques is utilized for multiple species present, which has been extensively used for a detailed study of specifically targeted species that are often novel and reactive. Instead, we have applied these methods for the mass characterization of numerous product species as they appeared. Unlike traditional batch reactor studies of pyrolysis, where terminal products are identified an
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Fellmann, Michael. "Semantic Process Engineering – Konzeption und Realisierung eines Werkzeugs zur semantischen Prozessmodellierung." Doctoral thesis, 2013. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2013102311711.

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In der Geschäftsprozessmodellierung haben sich semiformale, grafische Darstellungen etabliert. Die Bezeichnung der Elemente in diesen Modellen ist dabei an betriebswirtschaftliche Fachtermini angelehnt und erfolgt mit Hilfe der natürlichen Sprache, die jedoch Interpretationsspielräume mit sich bringt. Die Semantik der einzelnen Modellelemente ist somit für Menschen und Maschinen nicht eindeutig interpretierbar. In der vorliegenden Dissertation erfolgt daher die Konzeption und Realisierung einer semantischen Prozessmodellierung, die die Verknüpfung der semiformalen Prozessmodell
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Libros sobre el tema "Process querying"

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Polyvyanyy, Artem, ed. Process Querying Methods. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92875-9.

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Polyvyanyy, Artem. Process Querying Methods. Springer International Publishing AG, 2022.

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Process Querying Methods. Springer International Publishing AG, 2023.

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Benatallah, Boualem, Seyed-Mehdi-Reza Beheshti, Sherif Sakr, et al. Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data. Springer, 2016.

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Benatallah, Boualem, Seyed-Mehdi-Reza Beheshti, Sherif Sakr, et al. Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data. Springer, 2018.

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Benatallah, Boualem, Seyed-Mehdi-Reza Beheshti, Sherif Sakr, Daniela Grigori, and Hamid Reza Motahari-Nezhad. Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data. Springer London, Limited, 2016.

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Knowledge Discovery Process and Methods to Enhance Organizational Performance. Auerbach Publishers, Incorporated, 2015.

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Osei-Bryson, Kweku-Muata, and Corlane Barclay. Knowledge Discovery Process and Methods to Enhance Organizational Performance. Taylor & Francis Group, 2023.

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Knowledge discovery process and methods to enhance organizational performance. CRC Press, Taylor & Francis Group, 2015.

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Capítulos de libros sobre el tema "Process querying"

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Schoknecht, Andreas, Tom Thaler, Ralf Laue, Peter Fettke, and Andreas Oberweis. "Process Model Similarity Techniques for Process Querying." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_16.

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Polyvyanyy, Artem. "Process Query Language." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_11.

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Polyvyanyy, Artem. "Process Query Language." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_11.

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Álvarez, Jose Miguel Pérez, Antonio Cancela Díaz, Luisa Parody, Antonia M. Reina Quintero, and María Teresa Gómez-López. "Process Instance Query Language and the Process Querying Framework." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_4.

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Álvarez, Jose Miguel Pérez, Antonio Cancela Díaz, Luisa Parody, Antonia M. Reina Quintero, and María Teresa Gómez-López. "Process Instance Query Language and the Process Querying Framework." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_4.

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Vogelgesang, Thomas, Jessica Ambrosy, David Becher, Robert Seilbeck, Jerome Geyer-Klingeberg, and Martin Klenk. "Celonis PQL: A Query Language for Process Mining." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_13.

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AbstractProcess mining studies data-driven methods to discover, enhance, and monitor business processes by gathering knowledge from event logs recorded by modern IT systems. To gain valuable process insights, it is essential for process mining users to formalize their process questions as executable queries. For this purpose, we present the Celonis Process Query Language (Celonis PQL), which is a domain-specific language tailored toward a special process data model and designed for business users. It translates process-related business questions into queries and executes them on a custom-built
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Di Francescomarino, Chiara, and Paolo Tonella. "The BPMN Visual Query Language and Process Querying Framework." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_7.

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Vogelgesang, Thomas, Jessica Ambrosy, David Becher, Robert Seilbeck, Jerome Geyer-Klingeberg, and Martin Klenk. "Celonis PQL: A Query Language for Process Mining." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_13.

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AbstractProcess mining studies data-driven methods to discover, enhance, and monitor business processes by gathering knowledge from event logs recorded by modern IT systems. To gain valuable process insights, it is essential for process mining users to formalize their process questions as executable queries. For this purpose, we present the Celonis Process Query Language (Celonis PQL), which is a domain-specific language tailored toward a special process data model and designed for business users. It translates process-related business questions into queries and executes them on a custom-built
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Di Francescomarino, Chiara, and Paolo Tonella. "The BPMN Visual Query Language and Process Querying Framework." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_7.

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Delfmann, Patrick, Dennis M. Riehle, Steffen Höhenberger, Carl Corea, and Christoph Drodt. "The Diagramed Model Query Language 2.0: Design, Implementation, and Evaluation." In Process Querying Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92875-9_5.

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Actas de conferencias sobre el tema "Process querying"

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Kontak, Jakub, and Jana M. Weber. "Network Theoretical Analysis of the Reaction Space in Biorefineries." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.168427.

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The analysis of large chemical reaction space sheds light on reaction patterns between molecules and can inform subsequent reaction pathway planning. With the aim to discover more sustainable production systems, it became worthwhile to explicitly model the reaction space reachable from biobased feedstocks. In particular, the space that reactions in integrated biorefineries span for optimised biorefinery planning is of interest. In this work we show a network-theoretical analysis of biorefinery reaction data. We utilise the directed all-to-all mapping between reactants and products to compare t
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Awad, Ahmed, Artem Polyvyanyy, and Mathias Weske. "Semantic Querying of Business Process Models." In 2008 12th International IEEE Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2008. http://dx.doi.org/10.1109/edoc.2008.11.

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Störrle, Harald, and Vlad Acretoaie. "Querying business process models with VMQL." In the 5th ACM SIGCHI Annual International Workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2492437.2492441.

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Yongsiriwit, Karn, Nguyen Ngoc Chan, and Walid Gaaloul. "Log-Based Process Fragment Querying to Support Process Design." In 2015 48th Hawaii International Conference on System Sciences (HICSS). IEEE, 2015. http://dx.doi.org/10.1109/hicss.2015.493.

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Stanchev, Lubomir. "Querying Incomplete Information Using Bag Relational Algebra." In 2010 Second International Conference on Information, Process, and Knowledge Management (eKNOW). IEEE, 2010. http://dx.doi.org/10.1109/eknow.2010.9.

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Andriamarozakaniaina, Tahiry, Véronique Gaildrat, and Matthieu Pouget. "Process of indexing and querying for theatrical texts." In the 2008 International Conference in Advances. ACM Press, 2008. http://dx.doi.org/10.1145/1501750.1501870.

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Han, Xue, Lianxue Hu, Jaydeep Sen, et al. "Bootstrapping Natural Language Querying on Process Automation Data." In 2020 IEEE International Conference on Services Computing (SCC). IEEE, 2020. http://dx.doi.org/10.1109/scc49832.2020.00030.

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Kobeissi, Meriana, Nour Assy, Walid Gaaloul, Bruno Defude, and Bassem Haidar. "An Intent-Based Natural Language Interface for Querying Process Execution Data." In 2021 3rd International Conference on Process Mining (ICPM). IEEE, 2021. http://dx.doi.org/10.1109/icpm53251.2021.9576850.

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Sakr, Sherif, and Ahmed Awad. "A framework for querying graph-based business process models." In the 19th international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1772690.1772906.

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Kammerer, Klaus, Rudiger Pryss, and Manfred Reichert. "Context-Aware Querying and Injection of Process Fragments in Process-Aware Information Systems." In 2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2020. http://dx.doi.org/10.1109/edoc49727.2020.00022.

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Informes sobre el tema "Process querying"

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Bourgaux, Camille, and Anni-Yasmin Turhan. Temporal Query Answering in DL-Lite over Inconsistent Data. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.236.

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In ontology-based systems that process data stemming from different sources and that is received over time, as in context-aware systems, reasoning needs to cope with the temporal dimension and should be resilient against inconsistencies in the data. Motivated by such settings, this paper addresses the problem of handling inconsistent data in a temporal version of ontology-based query answering. We consider a recently proposed temporal query language that combines conjunctive queries with operators of propositional linear temporal logic and extend to this setting three inconsistency-tolerant se
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Bond, W., Maria Seale, and Jeffrey Hensley. A dynamic hyperbolic surface model for responsive data mining. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43886.

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Data management systems impose structure on data via a static representation schema or data structure. Information from the data is extracted by executing queries based on predefined operators. This paradigm restricts the searchability of the data to concepts and relationships that are known or assumed to exist among the objects. While this is an effective and efficient means of retrieving simple information, we propose that such a structure severely limits the ability to derive breakthrough knowledge that exists in data under the guise of “unknown unknowns.” A dynamic system will alleviate th
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Koopmann, Patrick. Ontology-Mediated Query Answering for Probabilistic Temporal Data with EL Ontologies (Extended Version). Technische Universität Dresden, 2018. http://dx.doi.org/10.25368/2022.242.

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Especially in the field of stream reasoning, there is an increased interest in reasoning about temporal data in order to detect situations of interest or complex events. Ontologies have been proved a useful way to infer missing information from incomplete data, or simply to allow for a higher order vocabulary to be used in the event descriptions. Motivated by this, ontology-based temporal query answering has been proposed as a means for the recognition of situations and complex events. But often, the data to be processed do not only contain temporal information, but also probabilistic informat
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